in this study, application of adaptive neuro-fuzzy inference system (anfis) in forecasting three perspectives (1, 2, and 4 years) ahead of iran’s agricultural products export was compared with arima as the most common econometrics linear forecasting method. for this purpose, iran’s agricultural products export revenues related to 1959-2010, and forecast performance measures such as r2, mad, and...

in the present study, the energetic and economic modeling of lentil and chickpea production in esfahan province of iran was conducted using adaptive neuro-fuzzy inference system (anfis) and linear regression. data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. the results showed that the yield and total energy consumption w...

An information usefulness approach to decision making points out that only the information is regarded as useful that will bring valuable messages to investors and lead to stock price adjustments. This study examines the effectiveness of audit committees in improving earnings quality and informativeness, particularly among family-owned firms. Earnings informativeness was measured through the re...

Fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. Several methods for evaluating fuzzy coefficients in linear regression models have been proposed. The first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. In this the...

This paper tries to analyze effects of trade and financial liberalizations on the Iran’s government size during both long-run and short- run. Accordingly, a specification of the auto regression with distributed lag (ARDL) has been used for investigating the long run relationships between variables, and a vector correction model (VECM) has examined dynamically the short-run relationships betwe...